A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

The application, called the Strategic Grid Planner, extends the company’s Intelligent Grid Platform (IGP) and focuses on ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Cities and regions are under increasing pressure to respond faster and more intelligently to complex challenges. From traffic ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...

Engineers and operators can now test, predict, and optimize 6G networks at scale, leveraging AI, cloud integration and ...

Strategic Grid Planner enables utilities to generate and validate system plans by evaluating thousands of technically feasible and economically optimized alternatives across defined planning horizons.